Automating the analysis of variance of orthogonal designs

被引：11

作者：

Grossmann, Heiko ^{[1
]}

机构：

[1] Queen Mary Univ London, Sch Math Sci, London E1 4NS, England

来源：

COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2014年 / 70卷

关键词：

Analysis of variance; Orthogonal block structure; Algorithm; RANDOMIZED EXPERIMENTS; BLOCK STRUCTURE; MODELS; DIAGRAM; BALANCE;

D O I：

10.1016/j.csda.2013.08.014

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A new algorithm is presented which for the wide class of orthogonal designs is capable of deducing the appropriate analysis of variance from the design only. As a consequence the use of a model equation for specifying the analysis becomes dispensable. The proposed approach can simplify the analysis of complex models with iterative crossing and nesting of factors, where treatment factors have fixed and plot factors have random effects. An implementation is described and its use is illustrated with several examples. (C) 2013 Elsevier B.V. All rights reserved.

引用

页码：1 / 18

页数：18

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